Semantic blog According to Steve Cayzer of Hewlett Packard, semantic blogging is "the use of rich data to transform blogs from simple online diaries to full participants in an information sharing ecosystem" (Cayzer, 2006). Semantic blogging is what allows authors of information to distribute thought and it be consumed by other people with queries about the topic. But it's more than just "fetching" desired information. Cayzer, in 2006, imagines a not-so-distant future where a computer language can communicate effectively enough to recommend blogs based on 'authors related to me' and 'resources relevant to this blog entry.' Cayzer terms a method similar to this a FOAF format (Friend of a Friend) where social networks can speak to each other. Currently, in the year 2013, there are systems in place that can accomplish Cayzer's musings. Twitter and Facebook can be synced together and the popular blogging website Blogspot.com possesses features that group relevant blogs. I tend to look at the idea similar to the way Netflix recommends movies to you based off your viewing history.
The following diagram shows a web of various colored dots. The colors represent each dot's hue. Through each dot they pass they change a hue of color and, simultaneously creating another stop in their path. This is how semantic blogging works as far as searching and connectivity goes. Imagine each dot as a blog and they are connected by the most relevant blog (the closest hue), gradually, through clicking different pages, you will eventually find your way to a blog with no relevance or relationship to your original inquiry (the opposite shade of the color spectrum). But, because of the vastness and FOAF format you will eventually be redirected back to a familiar area (a similar hue). Cayzer envisioned an age where this is possible and modern technology and expansive internet webbing has now made it possible. References:
Cayzer, S. (2006). What next for semantic blogging? HPLaboratories, Retrieved January 25, 2013 from http://www.hpl.hp.com/techreports/2006/HPL-2006-149.pdf
According to Steve Cayzer of Hewlett Packard, semantic blogging is "the use of rich data to transform blogs from simple online diaries to full participants in an information sharing ecosystem" (Cayzer, 2006). Semantic blogging is what allows authors of information to distribute thought and it be consumed by other people with queries about the topic. But it's more than just "fetching" desired information. Cayzer, in 2006, imagines a not-so-distant future where a computer language can communicate effectively enough to recommend blogs based on 'authors related to me' and 'resources relevant to this blog entry.' Cayzer terms a method similar to this a FOAF format (Friend of a Friend) where social networks can speak to each other. Currently, in the year 2013, there are systems in place that can accomplish Cayzer's musings. Twitter and Facebook can be synced together and the popular blogging website Blogspot.com possesses features that group relevant blogs. I tend to look at the idea similar to the way Netflix recommends movies to you based off your viewing history.
The following diagram shows a web of various colored dots. The colors represent each dot's hue. Through each dot they pass they change a hue of color and, simultaneously creating another stop in their path.
This is how semantic blogging works as far as searching and connectivity goes. Imagine each dot as a blog and they are connected by the most relevant blog (the closest hue), gradually, through clicking different pages, you will eventually find your way to a blog with no relevance or relationship to your original inquiry (the opposite shade of the color spectrum). But, because of the vastness and FOAF format you will eventually be redirected back to a familiar area (a similar hue). Cayzer envisioned an age where this is possible and modern technology and expansive internet webbing has now made it possible.
References:
Cayzer, S. (2006). What next for semantic blogging? HP Laboratories, Retrieved January 25, 2013 from
http://www.hpl.hp.com/techreports/2006/HPL-2006-149.pdf